Recent advances in wearable technologies have enabled ways for people to interact with
external devices, known as human–machine interfaces (HMIs). Among them …

In this study, a facile and scalable fabrication process of the flexible and transparent tactile
sensor array where its operation is based on the triboelectric effect is proposed. The overall …

Objective: Cognitive workload monitoring (CWM) can enhance human-machine interaction
by supporting task execution assistance considering the operator's cognitive state …

Recent studies on intermittent computing target single-core processors and underestimate
the efficient parallel execution of highly-parallelizable machine learning tasks. Even though …

Light-weight, minimally-obtrusive mobile EEG systems with a small number of electrodes (ie,
low-density) allow for convenient monitoring of the brain activity in out-of-the-lab conditions …

Along with the recent growth of Internet of Things (IoT) security camera market, there have
been a number of personal information leakage incidents from security attacks targeting …

Low-power wearable systems are essential for medical and industrial applications, but they
face crucial implementation challenges when providing energy-efficient compact design …

In wearable sensors, energy efficiency is crucial, particularly during phases where devices
are not processing, but rather acquiring biosignals for subsequent analysis. This study …

The demand for compact and low-power sensor nodes (SNs) as wearable devices has
increased significantly as they contribute significantly to the monitoring of people's health …

Artifacts preprocessing in EEG is remarkably significant to extract reliable neural responses
in the downstream analysis. A recently emerging powerful preprocessing tool among the …